| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_e757fd4fedc4fe825bb81b1b466a0947 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-063
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-213
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-82
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-6232
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-94 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-063 |
| filingDate |
2020-02-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_404e25450aea524e507de819adf06bfa
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e0baaf5025b9ef638aead516a0a46b51
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b742f4d3a54178502f6124654270cc1b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_962392e3e5b78f00d51cc04909a1170a |
| publicationDate |
2021-08-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2021256303-A1 |
| titleOfInvention |
Accelerator resource utilization by neural networks |
| abstract |
A method for configuring a set of hardware accelerators to process a CNN. In an embodiment, the method includes one or more computer processors determining a set of parameters related to a feature map to analyze at a respective layer of the CNN, the set of parameters include quantization value and respective values that describe a shape of the feature map. The method further includes configuring a set of hardware accelerators for the respective layer of the CNN. The method further includes receiving a portion of the feature map to the configured set of hardware accelerators for the respective layer of the CNN, wherein the received portion of the feature map includes a group of sequential data slices. The method further includes analyzing the group of sequential data slices among the configured set of hardware accelerators. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11521007-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2022083500-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023092383-A1 |
| priorityDate |
2020-02-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |